MemoryVerse AI

The Problem: Students and professionals constantly lose track of their dispersed digital identities. Resumes, certifications, academic lab sheets, and project write-ups are scattered across local folders and cloud drives. Relying on manual data entry to track these skills is tedious and inefficient. The Solution: MemoryVerse AI acts as a centralized "Digital Identity System." Through a drag-and-drop React interface, users upload unstructured PDF documents. The system automatically reads the raw text, determines the document's category, extracts core technical skills, and maps the data onto an interactive visual timeline in real-time. How It Works (Architecture): • Frontend: Built with React, TailwindCSS, and Framer Motion for a responsive dark-mode dashboard. • Backend: A high-speed FastAPI (Python) server handles asynchronous API calls and file processing. • Intelligence Engine: PyPDF extracts text from the uploaded PDF binary, passing it to Google's Gemini 3.5 Flash model via the google-genai SDK to generate a structured JSON object containing categories and extracted skills.